Zendy | AI-Powered Research Library

• Topology-aware visual localization: a graph-based framework for content-driven geolocation
• Automated extraction of spatiotemporal disaster knowledge for urban floods: a multimodal framework based on LLMs and agent
• A distributed storage and indexing approach for global marine environmental data
• A multi-objective scheduling method for agile satellites based on nonlinear utility and deep reinforcement learning
• Mapping urban wetlands at 10-m resolution using Sentinel-1/2 on GEE: an object-based hierarchical classification framework for International Wetland Cities
• Quantifying systematic biases in satellite-based crop condition monitoring induced by inter-annual planting dynamics
• Spatiotemporal estimation of actual forest evapotranspiration in semi-arid China using remote sensing and deep learning
• Identifying long-term winter wheat planting areas using decision tree-derived ensemble learning models and multi-source data
• Generation of a global, daily, spatiotemporally seamless solar-induced chlorophyll fluorescence dataset from 2018 to 2021
• ST-multi-ISWNet: an internal solitary wave instance segmentation algorithm based on spatial-temporal multi-modal under high sea states
• A multi-scale risk assessment of grassland degradation based on vegetation dynamics: a case study in the Hulunbuir Grassland, China
• Region-wise query-guided adaptive multimodal fusion network for fine-grained arctic sea ice recognition
• MVSE-3D: multi-view semantic edge optimization for precision recovery of 3D building geometry
• Out-of-year parcel identification using adversarial domain adaptation and multi-temporal satellite imagery to enhance vineyard health monitoring
• SaLSE-net: a self-attention-based local structure enhancement network for landslide point cloud segmentation
• Gap-filling method based on GNNs considering spatiotemporal anisotropic geometric relationship for VNP46A2 daily NTL data
• Uncovering urban functional areas differences through POI-based spatial metrics: evidence from Jianghan district, Wuhan
• A photon point cloud denoising algorithm based on multi-feature combination and machine learning
• Improving the temporal accuracy of vegetation phenology indicators through the integration of satellite data and high-resolution near-surface camera observations
• Mapping rice paddy and cropping intensity by integrating phenology, machine learning, and multi-source satellite images in East and Southeast Asia
• A general method for searching customized depressions for large radio telescopes using digital elevation models
• Coastal urban land expansion and adaptation gaps in a rising sea era: evidence from 24 global cities
• Short-term and long-term impacts of climate extremes on global plant photosynthesis
• Representative population distribution layer for Czechia: from methodology to automated solutions
• Phenology-guided deep learning for automated rice mapping using SAR time-series imagery
• High-speed railway hazards detection from GF-2 imagery with multiscale context-aware network
• Improving photosynthetic phenology detection by incorporating vegetation index with meteorological factors
• A GNSS-IR soil moisture retrieval framework using Bayesian-optimized random forest algorithm
• Spatio-temporal random forest-based estimation of monthly gridded carbon emissions in China (2019–2022) using multisource remote sensing data
• Substantial potential of ICESat-2 photon-counting laser altimetry for reconstructing the lake water depth on the Tibetan Plateau
• Investigating the spatiotemporal behavior of VIC model parameters over the Tibetan plateau via global sensitivity analysis and machine learning
• The algorithmic and representational uncertainties in green space exposure measurement: conceptualizations and a suite of available methods for mobility-oriented studies
• A seamless global daily soil moisture dataset (2010–2015) harmonized from SMOS observations and SMAP-era assimilation modeling
• FengYun virtual constellation (FengYun+): requirement, concept, development and prospect of Chinese meteorological small satellites
• Chinese new satellite HJ-2 imagery application in quantifying lake chlorophyll-a: empirical, semi-analytical and machine learning algorithms
• An adaptive Segment Anything Model 2 (SAM2) for planted field segmentation from remote sensing imagery
• A novel pansharpening: when multiscale adaptive attention meets dual enhanced networks and low-rank tensor decomposition
• A spatial‒temporal seamless reconstruction method for high-resolution 16 m daily land surface albedo products
• Identification and tracking of heat and cold cores in highly urbanized areas: spatiotemporal characteristics and evolutionary patterns
• Cross-temporal classification of sand dune/sheet in the Belt and Road Initiative drylands based on deep learning domain adaptation
• The LUCAS dataset revisited: enhancing spatial representativeness for machine learning land cover mapping
• A mixed-methods approach to identify archetypes of wildfire management end-users of active fire earth observation satellite data
• OL-E2STARFM: an enhanced spatiotemporal data fusion method integrating object-oriented classification strategy and flexible object-driven pixel prediction method
• Applications of nighttime light remote sensing for monitoring human health: a review
• BECSL: boundary-enhanced consistency semi-supervised learning model for water extraction from remote sensing images
• Surface reconstruction by integrating 3D line features and sparse point clouds based on multiview images
• From remote sensing to decision-making: a web-based platform for near-real-time land cover classification
• Enabling a Digital Earth for methane emissions management with equal-area discrete global grids
• Establishment and comparison of prediction models for soil black carbon content in urban areas based on Vis–NIR data and environmental covariates
• Leveraging vision transformer architectures for glacial and fluvio-glacial landform classification
• GAM-STTD: a spatiotemporal tropospheric delay correction model for time-series InSAR in complex mountainous regions
• Road network CO 2 concentration prediction and driving factors analysis based on vehicle-cruising observations and machine learning in Shenzhen, China
• Design of a human-vehicle-road-map model for autonomous driving
• Interactive visualization of ocean flow and thermohaline field based on collaborative transfer function
• Quantitative estimation of soil organic matter content in black soil region under varying climatic conditions using optical radar remote sensing technology
• An automatic monitoring method for disturbance caused by deforestation and forest fires
• DFG-Net: a dual-stream frequency-guided network for landslide semantic segmentation from remote sensing imagery
• A framework for soil texture prediction based on remote sensing information from different climate patterns and crop growth periods
• Mining travel carbon emission patterns and evaluating equity in public transportation based on smart card data
• Open and reproducible knowledge on accessibility to urban green spaces – supporting cities to adapt to climate change in the frame of the SDGs
• DiffSimplify: a building continuous simplification model based on conditional diffusion models
• Coastal compound risk futures and sustainable climate policy payoffs in Caribbean small island developing states
• Exploring the influence mechanism of leaf area index and average leaf angle on mangrove canopy chlorophyll contents inversion using hyperspectral data
• RoLaSTIM: a novel method for lakeshore type identification and utilization rate assessment
• Rapid expansion of small lakes in the permafrost zone of the Qinghai-Tibetan Plateau
• Long-term variations of global river turbidity maximum zone: patterns and drivers
• ECHO: an integrated model fusing remote sensing and AI for dynamic water resource assessment
• Improving interpretability of mangrove aboveground biomass modeling via ecological knowledge: machine learning based hierarchical models
• Characterizing urban form archetypes through landscape and morphology parameterization and dimensionality reduction
• Integrating cognitive mapping, neutrosophic logic and DEMATEL for sustainable entrepreneurship in SMEs
• Premium sharing for supply chain coordination with business interruption insurance under supply disruption
• System dynamics simulation for supply chain performance under maritime transport disruptions: a case study of Suez Canal blockage
• Preface to the Special Issue on “Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)”
• Supply chain production and procurement strategies for the mixed contract with time flexibility and options
• Iterated local search with two strategies in the acceptance criterion for the tree t $t$ ‐spanner problem
• Sustainable reverse logistics network design: a case of waste electrical and electronic equipment management
• The K $K$ ‐prize‐collecting coverage problem by aligned disks
• A robust composite indicator framework for evaluating Sustainable Development Goal 3 using benefit‐of‐the‐doubt models and principal component analysis
• Preface to the Special Issue on “Managing Supply Chain Resilience in the Digital Economy Era”
• Digital and greening strategies for financial resilience in a three‐echelon supply chain
• Proposing a new integrated MEREC‐NDEA algorithm for assessing and selecting the optimal sustainable suppliers: a case study
• Digital technology and supply chain resilience: A literature review and emerging themes
• FINANCIAL DERIVATIVES USAGE AND FINANCIAL PERFORMANCE OF COMMERCIAL PARASTATALS LISTED IN THE NAIROBI SECURITIES EXCHANGE, KENYA
• Supplementary material for Logical Positivism: An American History
• The value of livestream accidents when the brand cooperates with a competitive influencer
• "Sociological Perspectives on Disruptive Innovation: The Role of Co-Design in Agriphotovoltaics Adoption Among Farmers"
• Acceptance Letter for two book chapters
• Rebuilding a DSS with feedback from behavioral and neuroscience studies
• Kooperative Professionalität
• MODELLING THE USE OF TECHNOLOGY TO IMPROVE DEGRADED LAND AND BIOMASS DENSITY
• Timely Images: Medieval Trans Saints, Historiographical Dysphoria and/as Trans-Temporal Methodology
• Atención de enfermería en pacientes pediátricos con anemia hemolítica más desnutrición
• Integration of e‐commerce traffic supply chain and product supply chain in the era of digital economy
• Comparative analysis of product and network supply chain resilience
• Assessment of the B-Cell Receptor in Duck Hepatitis A Virus Type 3 by Single-Cell Transcriptomics
• Hydro-mechanical phase-field modeling of fluid-driven fracture in diamond-olivine systems: Reassessing the role of time-dependent inelastic deformation
• FINANCIAL DERIVATIVES USAGE AND FINANCIAL PERFORMANCE OF COMMERCIAL PARASTATALS LISTED IN THE NAIROBI SECURITIES EXCHANGE, KENYA
• Bi‐objective minimization of energy consumption and cycle time for the robotic assembly line balancing problem: pseudo‐polynomial case and reduced search space metaheuristic
• Assessment of the B-Cell Receptor in Duck Hepatitis A Virus Type 3 by Single-Cell Transcriptomics
• Single-Cell Antigen Receptor Sequencing in Pigs with Influenza